scholarly journals التباین المکانی والزمانی للجرائم فی دولة الکویت للفترة (2009 – 2018م) Spatial and Temporal Variation of Crimes Committed in the State of Kuwait (2009-2018)

2020 ◽  
Vol 39 (1) ◽  
pp. 643-680
Author(s):  
راشد رجا السهلی ◽  
سلیم أحمد القیسی
Keyword(s):  
Temporal Variation ◽  
The State ◽  
Spatial And Temporal Variation ◽  
The State Of Kuwait

SPATIAL AND TEMPORAL VARIATION IN ABUNDANCE, SEX RATIO, AND SPECIES COMPOSITION OF CONNECTICUT RHAGIONIDAE (DIPTERA)

1987 ◽  
Vol 119 (1) ◽  
pp. 55-65
Author(s):  
Chris T. Maier ◽  
Donald W. Webb
Keyword(s):  
Sex Ratio ◽  
Species Composition ◽  
Temporal Variation ◽  
Sex Ratios ◽  
The State ◽  
Spatial And Temporal Variation ◽  
Emergence Traps ◽  
Relative Abundances ◽  
Malaise Traps

AbstractRhagionids were studied principally by capturing adults in emergence traps at Southington (1979) and in Malaise traps at Hamden (1980–1983) and Guilford, CT (1983–1985). Most captures of Chrysopilus rotundipennis Loew, C. thoracicus (Fabr.), Rhagio mystaceus (Say), and Symphoromyia hirta Johnson occurred during a 2- to 5-week period. Mean capture dates for sexes differed significantly in only a few cases. Based on percentage of total captured, S. hirta and R. mystaceus ranked first and second at Hamden whereas C. rotundipennis and S. hirta had these respective ranks at Guilford. The sex ratio of C. ornatus (Say) adults in emergence traps did not depart significantly from 1.0, but most rhagionids captured in Malaise traps had skewed sex ratios. Based on percentage and quotient of similarity, faunas at Hamden and Guilford shared many species, but relative abundances of species common at one or both sites were very different. In this study, we found 14 rhagionid species, including 4 not previously recorded from Connecticut. A total of 16 species are now recorded from the state.

scholarly journals Spatial and Temporal Variation Characteristics of Snowfall in the Haihe River Basin from 1960 to 2016

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1798
Author(s):  
Xu Wu ◽  
Su Li ◽  
Bin Liu ◽  
Dan Xu
Keyword(s):  
Temporal Variation ◽  
River Basin ◽  
Spatial And Temporal Variation ◽  
Haihe River Basin ◽  
Temperature Threshold ◽  
Threshold Method ◽  
Exponential Equation ◽  
Haihe River ◽  
The Haihe River Basin ◽  
Different Levels

The spatio-temporal variation of precipitation under global warming had been a research hotspot. Snowfall is an important part of precipitation, and its variabilities and trends in different regions have received great attention. In this paper, the Haihe River Basin is used as a case, and we employ the K-means clustering method to divide the basin into four sub-regions. The double temperature threshold method in the form of the exponential equation is used in this study to identify precipitation phase states, based on daily temperature, snowfall, and precipitation data from 43 meteorological stations in and around the Haihe River Basin from 1960 to 1979. Then, daily snowfall data from 1960 to 2016 are established, and the spatial and temporal variation of snowfall in the Haihe River Basin are analyzed according to the snowfall levels as determined by the national meteorological department. The results evalueted in four different zones show that (1) the snowfall at each meteorological station can be effectively estimated at an annual scale through the exponential equation, for which the correlation coefficient of each division is above 0.95, and the relative error is within 5%. (2) Except for the average snowfall and light snowfall, the snowfall and snowfall days of moderate snow, heavy snow, and snowstorm in each division are in the order of Zones III > IV > I > II. (3) The snowfall and the number of snowfall days at different levels both show a decreasing trend, except for the increasing trend of snowfall in Zone I. (4) The interannual variation trend in the snowfall at the different levels are not obvious, except for Zone III, which shows a significant decreasing trend.

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